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HPC Software Engineer
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Voltron Data
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Remote
SessionJob Fair
Event Type
Job Posting
Registration Categories
TP
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TUT
XO / EX
TimeMonday, 15 November 202112pm - 3pm CST
LocationOnline
DescriptionWe are looking for a highly motivated HPC software engineer to join Voltron Data’s team. On the team, you’ll have the opportunity to help support and grow the Voltron Data and Apache Arrow ecosystems. You will work closely with Voltron Data development teams to help design, architect, and implement high-performance data analytics computational primitives.

What you will be working on:

Below is a rough timeline of where you can expect to be at different points during your career path starting in this position.

Upon Joining:

- Spending time learning about the Apache Arrow memory layout, compute primitives, and APIs

- Working on a mini-app of Arrow computational primitives for performance optimization and algorithm exploration

- Helping to define profiling and performance optimization strategies

Within a month:

- Architecting / designing performant compute kernels that leverage vectorization

- Leading technical discussions, building technical design documents, and reviewing work in kernel development

- Collaborating with other teams at Voltron Data to ensure that compute kernel APIs can be utilized as effectively and efficiently as possible

- Collaborating with the open source Apache Arrow ecosystem to make Arrow the most performant data analytics solution possible

Within 6 months:

- Architecting / designing a plan to support multiple architectures and platforms

- Helping to balance development prioritization between development of new kernels and optimization of existing kernels

- Designing process to ensure kernels are consistently improving in performance and working with the benchmarking team to address bottlenecks

- Conduct profiling, scaling studies, parallelization and memory bandwidth analyses

Within 12 months:

- Acting as a HPC tech leader within Voltron Data

- Defining standard methodologies for compute kernel development and promoting these across the Voltron Data and Apache Arrow ecosystems

- Ensuring that the compute kernels are as high quality as possible, balancing performance, usability, and maintainability

- Developing strategies for addressing and improving performance as well as productivity requirements of teams across Voltron Data

Benefits:

- Work from Anywhere - Payroll and Benefits in 150+ Countries

- Unlimited PTO

- Medical, Dental, and Vision

- Retirement [USA Only]

- Home Office Budget

- Continuing Education Budget

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
RequirementsPrevious experience that could be helpful: - Building libraries in C++, especially using Modern C++ - Using and/or building performance portability libraries on accelerator hardware or targeting multiple CPU instruction sets - Developing software for parallel/manycore computer architectures and GPUs, and/or optimizing software for vectorization, multithreading, GPU acceleration - Designing and implementing parallel/distributed algorithms - Developing, analyzing and optimizing performance of software in the HPC context - Benchmarking, code instrumentation, performance analysis and profiling - Contributions to open source projects or public code repositories
Company DescriptionVoltron Data is an early-stage company creating high-performance data access and in-memory computing tools based on Apache Arrow to accelerate enterprise data analytics. We are a collection of open-source maintainers who have been driving open-source ecosystems over the last 15 years, particularly in the C++, Python, and R programming ecosystems. We are assembling a global, diverse team to build a new foundation for data analytics with Apache Arrow. This foundation will usher in a wave of innovation in data processing that can take full advantage of the speed and efficiency offered by modern hardware.
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2021-10-25
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